Abstract:
Novel β10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing β10 polypeptides and heterodimeric forms thereof, specifically α2/β10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with β10 polypeptides and α2/β10 heterodimers or their respective binding agents.
Abstract:
A method and apparatus are provided for incrementally tracking quantiles in the presence of multiple record types. A method for performing incremental quantile tracking includes receiving a first data record of a first record type and a second data record of a second record type, and updating a quantile probability for a quantile value, based on the first record type of the first data record and the second record type of the second data record, to obtain a new quantile probability for the quantile value.
Abstract:
In one embodiment, a method of monitoring a network. The method includes, at each node of a fixed set, constructing a corresponding vector of M components based on data packets received at the node during a time period, M being an integer greater than 1, the fixed set being formed of some nodes of the network; and, based on the constructed vectors, estimating how many of the received data packets have been received by all of the nodes of the set or estimating how many flows of the received data packets have data packets that have passed through all of the nodes of the set. The constructing includes updating a component of the vector of one of the nodes in response to the one of the nodes receiving a data packet. The updating includes selecting the component for updating by hashing a property of the data packet received by the one of the nodes.
Abstract:
A method is provided, according to which data are collected on downstream packet losses at a single point in a network. From from the collected data, packet loss rates are estimated on at least two subnetworks downstream of the collection point. The respective subnetworks may differ by one or more links.
Abstract:
A method is provided, according to which data are collected on downstream packet losses at a single point in a network. From from the collected data, packet loss rates are estimated on at least two subnetworks downstream of the collection point. The respective subnetworks may differ by one or more links.
Abstract:
A method and apparatus for incremental tracking of multiples quantiles is provided. A method for performing an incremental quantile update using a data value of a received data record includes determining an initial distribution function, updating the initial distribution function to form a new distribution function based on the received data value, generating an approximation of the new distribution function, and determining new quantile estimates from the approximation of the new distribution function. The initial distribution function includes a plurality of initial quantile estimates and a respective plurality of initial probabilities. The initial distribution function is updated to form the new distribution function based on the received data value. The new distribution function includes a plurality of quantile points identifying the respective initial quantile estimates and a respective plurality of new probabilities associated with the respective initial quantile estimates. The approximation of the new distribution function is generated by, for each pair of adjacent quantile points in the new distribution function, connecting the adjacent quantile points using a linear approximation of a region between the adjacent quantile points. The new quantile estimates and the new probabilities associated with the new quantile estimates may then be stored.
Abstract:
A method is provided for determining a bandwidth allocation needed to provide a specified QOS requirement that takes appropriate account of statistical variations for packet streams in a transmission link. In particular, a statistical model of the packet stream is formed using fractional sum difference statistical models and the model is evaluated in respect to synthetically generated traffic streams. The bandwidth allocation approach is specified in terms of the bandwidth, β, required for a traffic load, τ, subject to the requirements of a maximum queuing delay, δ, and a packet loss limitation parameter, ω. Accordingly, that bandwidth allocation approach is implemented as a statistical model for β as a function of τ, δ and ω.
Abstract:
In one embodiment, a method of monitoring a network. The method includes, at each node of a set, constructing a corresponding vector of M components based on a stream of data packets received at the node during a time period, the set including a plurality of nodes of the network, M being greater than 1; and estimating a value of a byte traffic produced by a part of the packets based on the constructed vectors, the part being the packets received by every node of the set. The constructing includes updating a component of the vector corresponding to one of the nodes in response to the one of the nodes receiving a data packet. The updating includes selecting a component of the vector to be updated by hashing a property of the received data packet.
Abstract:
Methods and apparatuses are provided for detecting traffic patterns in a data network. A sequential hashing scheme can be utilized that has D hash arrays. Each hash array i, wherein 1≦i≦D, includes Mi independent hash tables each having K buckets, with each of the buckets having an associated traffic total. Each of the keys corresponds with a single bucket of each of the Mi independent hash tables of each hash array i. The keys of the data network are partitioned into D words. As traffic is received for a key, a traffic total of each bucket that corresponds with a key is updated. The hash arrays can then be utilized to identify high traffic buckets of the independent hash tables having a traffic total greater than a threshold value. The high traffic buckets can be used to detect significant traffic patterns of the data network.
Abstract:
Novel β10 polypeptides and heterodimers thereof, and nucleic acid molecules encoding the same are disclosed. The invention also provides vectors, host cells, selective binding agents, and methods for producing β10 polypeptides and heterodimeric forms thereof, specifically α2/β10. Also provided for are methods for the treatment, diagnosis, amelioration, or prevention of diseases with β10 polypeptides and α2/β10 heterodimers or their respective binding agents.